Data Engineer

Nedap; Netherlands; Hybrid; EUR 45,000 - 61,000; Full time

Benefits offered by this job

Thirteenth month

Pension scheme

Profit sharing / stock option

Job summary

Nedap is seeking a Data Engineer to design and build data pipelines across edge and cloud environments, enabling real-time and batch processing for our computer vision-based dairy-farm solution.

You will work with ML/CV engineers to productionize models and ensure robust, traceable data flows from edge devices to cloud storage and analytics platforms. The role is hybrid, with on-site collaboration at Groenlo, NL.

Qualifications

• Three+ years of experience as a Data Engineer or similar role.
• Strong Python skills for building data and ETL pipelines.
• Experience with embedded systems or resource-constrained environments.
• Familiarity with cloud services (e.g., Blob Storage, Event Hubs, AKS, ACR).
• Containerization experience with Docker and deploying containerized apps.
• Knowledge of video data and processing tools.
• Understanding of ML workflows and/or edge inference.

Responsibilities

• Design and build robust pipelines for real-time and batch processing across edge and cloud environments.
• Maintain reliable data flows from cameras and embedded sensors for training and inference.
• Collaborate with ML engineers to productionize models and deploy them on the edge.

Skills

Python

ETL pipelines

Data engineering

Embedded systems

Cloud services

Docker

Video data processing

ML workflows / edge inference

Tools

Docker

Job description

We're building a smart, scalable pipeline that helps dairy farmers manage their operations through computer vision solutions. From edge devices deployed on-site to intelligent processing in the cloud, we turn raw sensor and camera data into insights, allowing farmers to run their farms efficiently and ensure animal wellbeing.

As a Data Engineer, you'll be right in the middle of it all: designing and building the data flows that power our solution, from capturing data at the edge, processing and storing it in the cloud, to making it accessible to the end user. You’ll work closely with ML/CV engineers to ensure data flows are efficient, resilient, and traceable. With your team, you’ll build Minimum Viable Products that are used by our customers.

Design and build robust pipelines for real-time and batch processing across edge and cloud environments.

Maintain reliable data flows from cameras and embedded sensors for training and inference.

Collaborate with ML engineers to productionize models and deploy them on the edge.

Your team

As a Data Engineer, you will join our Expansion team, a dedicated team of market experts and technical specialists (Computer Vision, Data Engineering/Science) who create and validate fundamentally new concepts that complement our current solution portfolio. The team is defined by a fail-fast and validation-driven approach.

Our offer

What's in it for you?

As a Data Engineerat Nedap, you will make a valuable contribution to our goal: making people happier and more successful in their professional lives.

The salary range for this role is between€ 4.000and€ 5.500gross per month based on full-time employment (38 hours) and depends on relevant knowledge and experience. In addition to your salary, you are entitled to a thirteenth month, a good pension scheme, and profit sharing with the opportunity to become a shareholder of Nedap.

• a thirteenth month
• a good pension scheme
• profit sharing with the opportunity to become a shareholder of Nedap.

At Nedap, everything revolves around trust and autonomy. That’s why, along with your colleagues, you decide on your own working hours and vacation days to maintain a healthy work-life balance.

We also highly value personal and professional growth. You will receive a comprehensive introduction, and we encourage you to continuously develop yourself.

• Work experience: You have at least three years of experience as a Data Engineer or in a similar role, with strong Python skills for building data and ETL pipelines.
• Experience with embedded systems or resource-constrained environments.
• Cloud: You are familiar with cloud services (e.g. Blob Storage, Event Hubs, AKS, ACR).

• Containerization: You have experience with Docker and deploying containerized applications
• Knowledge of video data and processing tools.
• Familiarity with machine learning workflows and/or edge inference.

Good to know: You are available for 32-38 hours. Hybrid (remote) working is common within Nedap and together with your team you will arrange your own working hours for a good work-life balance. You are preferably present at our campus in Groenlo at least twice a week.

About Nedap

Nedap is a global leader in Digital Twin Technology, bridging the physical and digital worlds in Retail, Healthcare, Livestock, and Security. Guided by our Technology for Life philosophy, we create smart, sustainable solutions that help people and organizations thrive in a rapidly changing world. With over 1,000 colleagues, we shape the future with meaningful innovations.